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Preference Heterogeneity in Relation to Museum Services

Author

Listed:
  • Ugo Colombino

    (Department of Economics, Cognetti De Martiis, University of Turin, Via Po 53, 10124 Turin, Italy)

  • Annamaria Nese

    (Department of Economics and Statistics and CELPE, University of Salerno, via Ponte don Melillo, 84084 Fisciano (Salerno), Italy)

Abstract

Prevailing trends in the management of European museums underline the importance of additional museum services in fostering and encouraging the optimization of cultural assets while facilitating the collection of resources necessary for conservation. This paper considers the case of the archaeological site of Paestum (Salerno) and presents an analysis of individual preferences in relation to specific policies of cultural heritage management, each characterized by the supply of different museum services. Since the diversity of these services can prompt different individual preferences, the analysis allows for heterogeneity of parameters among individuals.

Suggested Citation

  • Ugo Colombino & Annamaria Nese, 2009. "Preference Heterogeneity in Relation to Museum Services," Tourism Economics, , vol. 15(2), pages 381-395, June.
  • Handle: RePEc:sae:toueco:v:15:y:2009:i:2:p:381-395
    DOI: 10.5367/000000009788254395
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    References listed on IDEAS

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    1. Ugo Colombino & Annamaria Nese & Patrizia Riganti, 2005. "Eliciting Public Preferences For Managing Cultural Heritage," Public Economics 0501004, University Library of Munich, Germany.
    2. Brownstone, David & Train, Kenneth, 1998. "Forecasting new product penetration with flexible substitution patterns," Journal of Econometrics, Elsevier, vol. 89(1-2), pages 109-129, November.
    3. Antónia Correia & Carlos Pestana Barros & António Luís Silvestre, 2007. "Golf Tourism Repeat Choice Behaviour in the Algarve: A Mixed Logit Approach," Tourism Economics, , vol. 13(1), pages 111-127, March.
    4. Nahuelhual, Laura & Loureiro, Maria L. & Loomis, John B., 2004. "Using Random Parameters to Account for Heterogeneous Preferences in Contingent Valuation of Public Open Space," Journal of Agricultural and Resource Economics, Western Agricultural Economics Association, vol. 29(3), pages 1-16, December.
    5. Douglas Noonan, 2003. "Contingent Valuation and Cultural Resources: A Meta-Analytic Review of the Literature," Journal of Cultural Economics, Springer;The Association for Cultural Economics International, vol. 27(3), pages 159-176, November.
    6. Ståle Navrud & Richard C. Ready (ed.), 2002. "Valuing Cultural Heritage," Books, Edward Elgar Publishing, number 1759.
    7. Daniel McFadden & Kenneth Train, 2000. "Mixed MNL models for discrete response," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 15(5), pages 447-470.
    8. Train,Kenneth E., 2009. "Discrete Choice Methods with Simulation," Cambridge Books, Cambridge University Press, number 9780521747387.
    9. Bhat, Chandra R., 2001. "Quasi-random maximum simulated likelihood estimation of the mixed multinomial logit model," Transportation Research Part B: Methodological, Elsevier, vol. 35(7), pages 677-693, August.
    10. Edward Morey & Kathleen Greer Rossmann, 2003. "Using Stated-Preference Questions to Investigate Variations in Willingness to Pay for Preserving Marble Monuments: Classic Heterogeneity, Random Parameters, and Mixture Models," Journal of Cultural Economics, Springer;The Association for Cultural Economics International, vol. 27(3), pages 215-229, November.
    Full references (including those not matched with items on IDEAS)

    Citations

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    Cited by:

    1. Annamaria Nese & Roberta Troisi, 2014. "Individual Preferences and Job Characteristics: An Analysis of Cooperative Credit Banks," LABOUR, CEIS, vol. 28(2), pages 233-249, June.
    2. Brida, Juan Gabriel & Monterubbianesi, Pablo Daniel & Zapata Aguirre, Sandra, 2012. "Análisis de los factores que afectan la repetición de la visita a una atracción cultural: una aplicación al museo de Antioquia [Analysis of factors affecting repeat visit to a cultural attraction: ," MPRA Paper 37622, University Library of Munich, Germany.
    3. Carmelo J. León & Jorge E. Araña & Matías González & Javier de León, 2014. "Tourists' Evaluation of Climate Change Risks in the Canary Islands: A Heterogeneous Response Modelling Approach," Tourism Economics, , vol. 20(4), pages 849-868, August.
    4. Leask, Anna, 2016. "Visitor attraction management: A critical review of research 2009–2014," Tourism Management, Elsevier, vol. 57(C), pages 334-361.
    5. Juan L. Nicolau, 2011. "Research Note: Coastal and Inland Reference Prices – a Differentiated Effect," Tourism Economics, , vol. 17(5), pages 1140-1151, October.
    6. Ching-Fu Chen & Pei-Chun Chen, 2012. "Exploring Tourists' Stated Preferences for Heritage Tourism Services – the Case of Tainan City, Taiwan," Tourism Economics, , vol. 18(2), pages 457-464, April.
    7. Harold E. Cuffe, 2018. "Rain and museum attendance: Are daily data fine enough?," Journal of Cultural Economics, Springer;The Association for Cultural Economics International, vol. 42(2), pages 213-241, May.
    8. Massimiliano Castellani & Pierpaolo Pattitoni & Laura Vici, 2015. "Pricing Visitor Preferences for Temporary Art Exhibitions," Tourism Economics, , vol. 21(1), pages 83-103, February.
    9. Pi-Chuan Sun & Huei-Shan Lee & Tzong-Shyuan Chen, 2015. "Analysis of the Relationship between Household Life Cycle and Tourism Expenditure in Taiwan: An Application of the Infrequency of Purchase Model," Tourism Economics, , vol. 21(5), pages 1015-1033, October.
    10. Ugo Colombino & Marilena Locatelli, 2008. "Parameters Heterogeneity in a Model of Labour Supply: Exploring the Performance of Mixed Logit," CHILD Working Papers wp21_08, CHILD - Centre for Household, Income, Labour and Demographic economics - ITALY.

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    More about this item

    Keywords

    museum management; cultural goods; heterogeneous preferences; stated preference data; conjoint analysis; mixed logit;
    All these keywords.

    JEL classification:

    • D12 - Microeconomics - - Household Behavior - - - Consumer Economics: Empirical Analysis

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